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Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning

Prerequisites Before creating your application in Amazon Bedrock IDE, you’ll need to set up a few resources in your AWS account. This includes setting up Amazon API Gateway , AWS Lambda functions, and Amazon Athena to enable querying the structured sales data. Navigate to the AWS Secrets Manager console and find the secret -api-keys.

APIs 107
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GraphStorm 0.3: Scalable, multi-task learning on graphs with user-friendly APIs

AWS Machine Learning

With GraphStorm, you can build solutions that directly take into account the structure of relationships or interactions between billions of entities, which are inherently embedded in most real-world data, including fraud detection scenarios, recommendations, community detection, and search/retrieval problems. Specifically, GraphStorm 0.3

APIs 118
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2022H2 Amazon Textract launch summary

AWS Machine Learning

The Analyze Lending feature in Amazon Textract is a managed API that helps you automate mortgage document processing to drive business efficiency, reduce costs, and scale quickly. The Signatures feature is available as part of the AnalyzeDocument API. AnalyzeExpense API adds new fields and OCR output.

APIs 122
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Understanding and predicting urban heat islands at Gramener using Amazon SageMaker geospatial capabilities

AWS Machine Learning

Gramener’s GeoBox solution empowers users to effortlessly tap into and analyze public geospatial data through its powerful API, enabling seamless integration into existing workflows. Among these models, the spatial fixed effect model yielded the highest mean R-squared value, particularly for the timeframe spanning 2014 to 2020.

APIs 134
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Deep demand forecasting with Amazon SageMaker

AWS Machine Learning

The input data is a multi-variate time series that includes hourly electricity consumption of 321 users from 2012–2014. To try out the solution in your own account, make sure that you have the following in place: An AWS account to use this solution. If you don’t have an account, you can sign up for one.

Metrics 98
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Anthropic Claude 3.5 Sonnet ranks number 1 for business and finance in S&P AI Benchmarks by Kensho

AWS Machine Learning

thousand) Given Context: The Company’s top ten clients accounted for 42.2%, 44.2% The task is to answer multiple-choice questions collected from CFA practice exams and the business ethics, microeconomics, and professional accounting exams from the MMLU dataset. Learn more and get started today at Amazon Bedrock. He received his Ph.D.

Finance 124
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Earth Month customer spotlight: Aspiration

Talkdesk

A Talkdesk customer since 2014, Aspiration has been disrupting the finance industry by “turning every transaction into positive action”. Aspiration CEO and Co-founder Andrei Cherny shares that “Talkdesk has a profound commitment to their customers, which is just one reason we’ve been with them since 2014. Even dollar transactions ($xx.00)